Іnformation systems for modeling land prices under the urbanization process

Authors

  • Volodymyr Nazarenko National University of Life and Environmental Sciences of Ukraine image/svg+xml
  • Andrii Martyn National University of Life and Environmental Sciences of Ukraine image/svg+xml

DOI:

https://doi.org/10.31548/economics15(1).2024.039

Keywords:

urbanization, information systems, system modeling, urban economics

Abstract

The dynamic shifts associated with urban growth or decline significantly influence both municipal and national economic policies. Urban expansion often necessitates substantial land resources allocation, whereas in regions with limited land availability or geographical restrictions, a innovative approach to urban planning is mandated. Key land value factors have been determined and classified.  Each direct and indirect land prices key economic impact factor had been summarized and used to build information system model. Among these factors financial and economic data combined with geo-spatial information are considered the main input data sources for the digital information systems solution. An eight steps algorithm was constructed to enable information system output for economical assessment of land plot objects. The presented equations for economical assessment of a single land plot object can be used to calculate important parameters for the information system. Going one step further, a pyramid-shaped diagram denotes four stages of general economical valuation for prospective land object in context of investment opportunities. The price of each individual land slot can be efficiently calculated using an information system that relies upon pre-processed data, price impact factors and general land slot information. The findings underscore the necessity for adopting a more comprehensive approach towards the modeling of land prices in urbanized territories. This approach should adequately reflect the current delineation of urban and suburban boundaries, incorporate data pertinent to urban zones, and consider the spatial distribution of most significant industrial sites and business districts within larger urban zone (metropolitan region).

Author Biographies

  • Volodymyr Nazarenko, National University of Life and Environmental Sciences of Ukraine
    PhD in Economics, lecturer of the Computer Systems, Networks and Cybersecurity department
  • Andrii Martyn, National University of Life and Environmental Sciences of Ukraine
    Doctor of Economic Sciences, Professor, Corresponding member of the National Academy of Agrarian Sciences of Ukraine, Head of the Land-Use Planning Department

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Published

2024-03-07

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